Package: drjacoby 1.5.4
drjacoby: Flexible Markov Chain Monte Carlo via Reparameterization
drjacoby is an R package for performing Bayesian inference via Markov chain monte carlo (MCMC). In addition to being highly flexible it implements some advanced techniques that can improve mixing in tricky situations.
Authors:
drjacoby_1.5.4.tar.gz
drjacoby_1.5.4.zip(r-4.7)drjacoby_1.5.4.zip(r-4.6)drjacoby_1.5.4.zip(r-4.5)
drjacoby_1.5.4.tgz(r-4.6-x86_64)drjacoby_1.5.4.tgz(r-4.6-arm64)drjacoby_1.5.4.tgz(r-4.5-x86_64)drjacoby_1.5.4.tgz(r-4.5-arm64)
drjacoby_1.5.4.tar.gz(r-4.7-arm64)drjacoby_1.5.4.tar.gz(r-4.7-x86_64)drjacoby_1.5.4.tar.gz(r-4.6-arm64)drjacoby_1.5.4.tar.gz(r-4.6-x86_64)
drjacoby_1.5.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
drjacoby/json (API)
| # Install 'drjacoby' in R: |
| install.packages('drjacoby', repos = c('https://mrc-ide.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mrc-ide/drjacoby/issues
- population_data - Population data.
Last updated from:edfea6339e (on master). Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 175 | ||
| linux-devel-x86_64 | OK | 184 | ||
| source / vignettes | OK | 333 | ||
| linux-release-arm64 | OK | 176 | ||
| linux-release-x86_64 | OK | 186 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-release-x86_64 | OK | 325 | ||
| macos-oldrel-arm64 | OK | 123 | ||
| macos-oldrel-x86_64 | OK | 249 | ||
| windows-devel | OK | 201 | ||
| windows-release | OK | 204 | ||
| windows-oldrel | OK | 191 | ||
| wasm-release | OK | 132 |
Exports:check_drjacoby_loadedcpp_templatedefine_paramsplot_autocorrelationplot_cor_matplot_credibleplot_densityplot_mc_acceptanceplot_pairsplot_rung_loglikeplot_scatterplot_tracerun_mcmcsample_chains
Dependencies:askpassclicliprcodacowplotcpp11crayoncredentialscurldescdplyrfarverforcatsfsgenericsgertGGallyggplot2ggstatsgitcredsgluegtablehmshttr2iniisobandjsonlitelabelinglatticelifecyclemagrittropensslpatchworkpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcpprlangrprojrootrstudioapiS7scalesstringistringrsystibbletidyrtidyselectusethisutf8vctrsviridisLitewhiskerwithryamlzip
Basic Example
Rendered fromexample.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2019-05-03
Double well
Rendered fromchecks_double_well.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2021-09-08
Getting Model Fits
Rendered fromgetting_model_fits.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2022-02-10
Installing drjacoby
Rendered frominstallation.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2019-05-02
Multilevel example with blocks
Rendered fromchecks_multilevel_blocks.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2021-09-08
Started: 2021-09-08
Normal model
Rendered fromchecks_normal_model.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2021-09-08
Started: 2021-09-08
Parallel Tempering
Rendered frommetropolis_coupling.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2019-05-22
Return prior
Rendered fromchecks_return_prior.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2021-09-08
Started: 2021-09-08
Running in Parallel
Rendered fromparallel.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2024-06-26
Started: 2019-05-22
Using Likelihood Blocks
Rendered fromblocks.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2022-02-10
Started: 2021-01-08
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate autocorrelation | acf_data |
| Check that drjacoby package has loaded successfully | check_drjacoby_loaded |
| Create template for cpp | cpp_template |
| Define parameters dataframe | define_params |
| Flexible Markov Chain Monte Carlo via Reparameterization | drjacoby |
| Gelman-Rubin statistic | gelman_rubin |
| Plot autocorrelation | plot_autocorrelation |
| Plot posterior correlation matrix | plot_cor_mat |
| Plot 95% credible intervals | plot_credible |
| Produce density plots | plot_density |
| Plot Metropolis coupling acceptance rates | plot_mc_acceptance |
| Produce scatterplots between multiple parameters | plot_pairs |
| Plot loglikelihood 95% credible intervals | plot_rung_loglike |
| Produce bivariate scatterplot | plot_scatter |
| Plot parameter trace | plot_trace |
| Population data. | population_data |
| Run drjacoby MCMC | run_mcmc |
| Sample posterior draws from all available chains | sample_chains |
